Capstone Projects

Network Relationship: An Alternative Perspective to Comprehend the Flight Path

Program: Data Science Master's
Location: Not Specified (remote)
Student: Dinesh Venugopalan

Airlines around the world develop next-generation optimal network planning solutions with strong simulation capabilities, flexible rules and workflows, a solid interface for users, and connectivity with multiple internal and external systems to maximize revenue and minimize operating costs. The primary objective of this project is to create a route-traffic-based methodology that reveals how network airlines function on a hub-and-spoke network, giving them a dominant position through the airport and a variety of other operational patterns. Multiple centrality measures are used in this study by analyzing the roles of airport hubs in complex networks to ensure that there is adequate correlation impacting degree, closeness, betweenness, eigenvector, and page rank. Nevertheless, various evaluations of the actions of all pertinent nodes and all influencing factors have been used to build the network topology.The study’s focus was on the spatial aspect of networks, making it possible to identify centered airports without having to distinguish between hubs and intended destinations. The research’s results emphasize the value of multiple hubs and coalitions in airports, which allow airlines to divert travelers from one congested hub to another, possibly saving money and improving the traveler experience. By concentrating all its operations in specific geographical locations, airlines can achieve efficiencies in passenger services, logistics, and servicing, which lower costs and improve operational efficiency. Additionally, by using airport hubness to efficiently connect smaller locales to foreign destinations, it can offer an extensive range of connections.